evbsreg: Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model

Implements local influence diagnostics for the Extreme-Value Birnbaum-Saunders (EVBS) regression model: joint maximum likelihood estimation, conformal normal curvature diagnostics under three perturbation schemes (case-weight, response variable, and explanatory variable), randomized quantile residuals with simulation envelope, Monte Carlo simulation utilities, and publication-quality density and diagnostic plots. The methods are described in Ospina, Lima, Barros, and Macedo (2026, submitted) and are applied to monthly maximum wind gust data from Itajai, Brazil.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: stats, graphics, SpatialExtremes, ggplot2
Suggests: grDevices, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-30
DOI: 10.32614/CRAN.package.evbsreg (may not be active yet)
Author: Raydonal Ospina ORCID iD [aut, cre]
Maintainer: Raydonal Ospina <raydonal at de.ufpe.br>
BugReports: https://github.com/Raydonal/evbsreg/issues
License: MIT + file LICENSE
URL: https://github.com/Raydonal/evbsreg, https://raydonal.github.io/evbsreg/
NeedsCompilation: no
Citation: evbsreg citation info
Materials: README, NEWS
CRAN checks: evbsreg results

Documentation:

Reference manual: evbsreg.html , evbsreg.pdf
Vignettes: Local influence diagnostics for the EVBS regression model (source, R code)

Downloads:

Package source: evbsreg_1.0.0.tar.gz
Windows binaries: r-devel: evbsreg_1.0.0.zip, r-release: not available, r-oldrel: evbsreg_1.0.0.zip
macOS binaries: r-release (arm64): evbsreg_1.0.0.tgz, r-oldrel (arm64): evbsreg_1.0.0.tgz, r-release (x86_64): evbsreg_1.0.0.tgz, r-oldrel (x86_64): evbsreg_1.0.0.tgz

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